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» Neural networks: Algorithms and applications
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ICANN
2007
Springer
15 years 11 months ago
Fuzzy Classifiers Based on Kernel Discriminant Analysis
In this paper, we discuss fuzzy classifiers based on Kernel Discriminant Analysis (KDA) for two-class problems. In our method, first we employ KDA to the given training data and ca...
Ryota Hosokawa, Shigeo Abe
ICANN
2009
Springer
15 years 11 months ago
Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning
This paper proposes a novel Mass Spectrometry data profiling method for ovarian cancer detection based on negative correlation learning (NCL). A modified Smoothed Nonlinear Energy ...
Shan He, Huanhuan Chen, Xiaoli Li, Xin Yao
ANNES
1995
15 years 10 months ago
The Development of Holte's 1R Classifier
The 1R procedure for machine learning is a very simple one that proves surprisingly effective on the standard datasets commonly used for evaluation. This paper describes the metho...
Craig G. Nevill-Manning, Geoffrey Holmes, Ian H. W...
ESANN
2008
15 years 8 months ago
The gamma cycle and its role in the formation of assemblies
Rhythmic synchronization of activated neural groups in the gamma-frequency range (30-100 Hz) is observed in many brain regions. Interneuron networks are key to the generation of th...
Thomas Burwick
DMIN
2006
113views Data Mining» more  DMIN 2006»
15 years 8 months ago
Back-propagation DEA
Data Envelopment Analysis (DEA) is one of the most widely used methods in the measurement efficiency and productivity of Decision Making Units (DMUs). DEA for a large dataset with...
Ali Emrouznejad